Variational bayes learning of time-varying graphical models.
Hang YuJustin DauwelsPublished in: MLSP (2016)
Keyphrases
- graphical models
- bayesian networks
- reinforcement learning
- learning algorithm
- approximate inference
- belief propagation
- probabilistic model
- relational dependency networks
- exponential family
- conditional random fields
- random variables
- probabilistic inference
- markov networks
- structure learning
- supervised learning
- probability distribution
- incremental learning
- dynamic programming
- conditional independence
- bayesian learning
- active learning
- support vector